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Senior Data Engineer

3 weeks ago
India
Full-time
Senior
Data Engineer
Software Development
Apache Spark CI/CD ClickHouse Databricks Feature Engineering Generative AI Python SQL Terraform
Apply Now
Resil

Resil

Resil specializes in providing AI-powered supply chain risk management solutions that enable organizations to detect threats in real time and take proactive measures to enhance supply chain resiliency.

Internet Software & Services
251-1K
Founded 2010
View All Jobs 6

Description

  • Partner with enterprise customers and business stakeholders to understand data challenges and define solution requirements.
  • Own technical delivery from discovery and solution design through implementation and adoption.
  • Design, build, and maintain scalable batch and real-time data pipelines and data products.
  • Architect cloud-native data platforms using Databricks, Delta Lake, Azure Data Services, and distributed processing technologies.
  • Develop ETL/ELT frameworks, data models, and data quality monitoring processes.
  • Optimize storage, query performance, scalability, reliability, and cost efficiency across large-scale datasets.
  • Build data products that support analytics, reporting, operational workflows, and AI/ML applications.
  • Collaborate with Product, Engineering, Solutions Consulting, and Customer Success teams to deliver customer outcomes.
  • Drive best practices in data governance, security, observability, reliability, and operational excellence.
  • Contribute to architecture decisions, technical design reviews, platform evolution, and mentoring junior engineers.

Requirements

  • BE/MS in Computer Science, Information Technology, Engineering, or a related field.
  • 5+ years of experience in data engineering, data platform development, or related disciplines.
  • Strong experience with Databricks, Apache Spark, Delta Lake, or similar distributed data processing technologies.
  • Experience with cloud-based data platforms and services, including Azure preferred or equivalent cloud ecosystems.
  • Experience designing and operating analytical data platforms using ClickHouse or similar high-performance analytical databases.
  • Advanced proficiency in Python and SQL with strong software engineering fundamentals.
  • Experience building scalable ETL/ELT pipelines, orchestration workflows, and modern data architectures.
  • Strong understanding of data modeling, data warehousing, and analytics platform design.
  • Experience implementing CI/CD, infrastructure automation, and DevOps practices for data platforms.
  • Excellent communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.
  • Ability to navigate ambiguity, drive outcomes independently, and succeed in customer-facing environments.
  • Preferred experience in a Forward Deployed Engineer, Solutions Engineer, Solutions Architect, Technical Consultant, or similar customer-facing engineering role.
  • Preferred experience working with Supply Chain, Logistics, Manufacturing, or Enterprise SaaS platforms.
  • Familiarity with data governance, lineage, metadata management, and data catalog solutions is a plus.
  • Experience with Infrastructure as Code tools such as Terraform is a plus.
  • Exposure to AI/ML platforms, feature engineering pipelines, and data infrastructure supporting Generative AI applications is a plus.
  • Experience designing and operating real-time data processing systems and streaming architectures is a plus.
  • Demonstrated ability to mentor engineers and lead technical initiatives across teams is a plus.

Benefits

  • Fully remote work with opportunities to connect in person.
  • A culture centered on ownership, purpose, technical growth, and having a voice in shaping technology.
  • Full-stack benefits for health, wealth, and wellbeing.
  • Equal opportunity employment and accommodations for applicants with disabilities.

Interested in this position?

Apply directly on the company website

Apply Now

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